Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session Z41: Quantum Control: Feedback and Dissipation Engineering
11:30 AM–2:30 PM,
Friday, March 18, 2022
Room: McCormick Place W-196C
Sponsoring
Unit:
DQI
Chair: Archana Kamal, University of Massachusetts-Lowell
Abstract: Z41.00007 : Preparation and stabilization of cavity Fock state superpositions with deep reinforcement learning*
1:06 PM–1:18 PM
Presenter:
Arthur Perret
(Universite de Sherbrooke)
Authors:
Arthur Perret
(Universite de Sherbrooke)
Yves Bérubé-Lauzière
(Universite de Sherbrooke)
Here, we propose instead a protocol based on state-of-the-art off-policy deep distributional reinforcement learning, to obtain heralded state preparation fidelities above 97% on average for a variety of bosonic states. Optimizing with respect to the distribution of returns, rather than their mean, was found to be instrumental in implementing a stable training procedure.
The approach relies on using a coherent displacement as linear control and quantum back action from weak measurements as the only non-linearity implemented with Ramsey type interferometry. Such measurements stabilize subspaces of Fock state superpositions, where by keeping track of the quantum state, our scheme is able to counteract the cavity decoherence rate, recovering from photon loss events in real time. Moreover, the reinforcement learning approach overcomes local minima in the stabilized subspace, reaching higher fidelities than conventional classical feedback protocols.
*This work was supported by the QSciTech NSERC-CREATE Training Program and the Université de Sherbrooke
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